Director of Data Science Production Engineering – Extended-Hours Support

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead and guide a team of over 10 ExHS data science support engineers and analysts.

• Provide timely and precise data analytics support for production, product management, laboratory operations, the laboratory director, and genetic counseling teams.

• Implement operational procedures to ensure compliance, quality, and efficiency.

• Assess, report, and continuously enhance the operational effectiveness of the team.

• Oversee the team during critical production incidents or emergency situations, both during and outside standard business hours.

• Create and maintain technologies that enhance operational visibility and efficiency.

• Manage and implement analytics workflows on Snowflake and AWS infrastructure, including Redshift, Athena, Batch, EC2, and S3.

• Ensure adherence to CLIA, FDA, and internal quality management standards.

• Provide training and coaching to team members on technologies, procedures, guidelines, and best practices.

• Identify and implement improvement initiatives within the DSPE ExHS team and across DSPE teams.

• Represent ExHS teams in stakeholder meetings and manage their expectations effectively.

• Establish regular reporting mechanisms for stakeholders.

• Convert complex analytical results into actionable recommendations for cross-functional partners.

⛳️ Requirements

• A Master's degree in Statistics, Data Science, Bioinformatics, Computer Science, Mathematics, or Operations Research is required; Doctorate degrees are advantageous.

• A minimum of 8 years of relevant industry experience with a Master's degree (or at least 4 years with a Doctorate).

• At least 3 years of experience in a highly regulated environment (CLIA and/or FDA compliant settings).

• Minimum of 3 years of management experience leading medium-sized teams in production support or operational roles.

• Working knowledge of diagnostic laboratory business processes and genomic/bioinformatics technologies.

• Proficient in data analysis and statistical methods.

• Skilled in Python and SQL development.

• Hands-on experience with Snowflake platform technologies and AWS cloud analytics tools (Redshift, Athena, Batch, EC2, S3).

• Proven experience in developing operational dashboards and analytical tools using AWS QuickSight, Streamlit, or similar platforms.

• Excellent written and verbal communication skills.

• Ability to navigate operational uncertainties, create structure in areas of ambiguity, and directly address production bottlenecks.

• Strong documentation practices and coding style.

• High level of integrity.

• A collaborative team player.

🏝️ Benefits

• Comprehensive medical, dental, vision, life, and disability plans for eligible employees and their dependents.

• Free testing for employees and their immediate families.

• Fertility care benefits.

• Pregnancy and baby bonding leave.

• 401k benefits.

• Commuter benefits.

• Employee referral program.

• Equal Opportunity Employer with a commitment to an inclusive workplace.